Vipin Kumar Karthikeyan

Sustainable Sourcing and Procurement Management | Fortune 100 Company

• Evaluated the sustainability of materials, identifying those with the highest environmental impact, and increased the percentage of sustainably procured materials by 34%.
• Implemented Azure technologies, resulting in a 30% improvement in data processing efficiency and a 20% reduction in data retrieval time.
• Planned projects, designed system architecture, and created reports using SQL Server, Azure Data Factory, Azure Databricks, Power BI, and DevOps.
• Led a team of 3 junior analysts, completing the project 10% ahead of schedule and within budget.

Sales & Inventory Scorecard Reporting | Fortune 10 Company

• Developed Power BI dashboards to monitor performance, resulting in a 3.9% increase in sales and a 2.6% increase in average price, providing actionable insights for decision-making.
• Processed and stored large datasets using Databricks, Data Factory, and SQL, with storage in Azure Data Lake Storage (ADLS), supporting complex data models for a 25% increase in data processing speedwith Azure Analysis Services.
• Tracked and analyzed performance metrics, identifying a 12.7% decrease in points of distribution and providing insights into shopper behavior trends.

End-to-End Data Migration Initiative

• Transitioned data from on-premises environments to the cloud, contributing to a seamless and efficient migration process.
• Architected and executed scalable cloud solutions, enhancing system performance by 60% and reducing infrastructure costs by 30% through optimized resource allocation and auto-scaling.
• Leveraged technologies such as Azure Functions, Data Factory, Databricks, AWS Glue, and AWS Lambda to achieve a 40% improvement in data processing speed and a 25% reduction in operational costs.

Full Automation of Power Plant Unit

• Utilized Multivariate State Estimation technique, Python, Docker, and Statistical Process Control to implement live monitoring for steam turbines, enhancing real-time oversight and operational efficiency.
• Reduced machine failures by 25% and increased electricity production efficiency by 15% through timely notifications of machine part breaches and proactive signaling of potential breakdowns to operators.